Trading Journal Metrics That Matter: Win Rate, Expectancy, R-Multiple Explained
A plain-English explainer of the trading metrics that actually predict future performance — win rate, expectancy, R-multiple, and profit factor — and how they relate to each other.
"Am I actually a profitable trader?" seems like it should have a simple answer, but the metric you check determines the answer you get. A trader with a 75% win rate can be losing money. A trader with a 35% win rate can be highly profitable. This is a plain-English guide to the metrics that actually predict whether a strategy — or a trader — has a real edge.
Win rate
What it is: The percentage of trades that were profitable.
Formula: Winning trades ÷ Total trades × 100
Why it's misleading on its own: Win rate says nothing about the size of wins versus losses. A strategy that wins 80% of the time but loses 4x as much on the occasional loss as it gains on a typical win will still bleed money over time. Win rate feels emotionally satisfying — nobody enjoys a string of small losses even when they're by design — but it's the least predictive number on this list in isolation.
Average win and average loss (in R, not dollars)
Before expectancy makes sense, you need average win and average loss size, expressed in R-multiples — your result as a multiple of what you risked, not raw dollars.
Why R instead of dollars: Dollar P&L is distorted by position size. A trade sized 2x your normal risk that makes $400 isn't twice as good a decision as a normally-sized trade that made $200 — it's the same 2R result achieved with twice the risk. R-multiple normalizes for size so trades of wildly different sizes are actually comparable.
Formula: R-multiple = (Exit price − Entry price) ÷ (Entry price − Stop price)
(inverted for short trades)
A trade risking $200 that makes $600 is a +3R trade. A trade risking $200 that loses $200 is a −1R trade (assuming the stop wasn't moved — see our piece on trading psychology for what happens when it is).
Expectancy
What it is: The average R-multiple you can expect per trade, over a large enough sample, given your actual win rate and average win/loss size. This is the single number that answers "does this strategy make sense to trade" more directly than anything else on this list.
Formula:
Expectancy = (Win rate × Average win in R) − (Loss rate × Average loss in R)
Example: A strategy with a 40% win rate, average win of 2.5R, and average loss of 1R:
Expectancy = (0.40 × 2.5) − (0.60 × 1.0) = 1.0 − 0.6 = +0.4R
That strategy has positive expectancy despite losing on 60% of trades — every trade taken is worth, on average, +0.4R. Over 100 trades at consistent risk, that's roughly +40R of account growth, purely from the edge, before compounding.
A strategy with a low win rate and positive expectancy feels much worse to trade than the numbers suggest — most of your trades will be losses, and living through a long losing streak (even one that's statistically normal for that win rate) is genuinely hard. This is exactly why the review habit in our trading journal guide matters: without seeing the expectancy number, a string of losses on a positive-expectancy strategy looks identical, in the moment, to a broken strategy.
Profit factor
What it is: Total gross profit divided by total gross loss across all trades — a single number describing how many dollars you made for every dollar you lost.
Formula: Profit factor = Gross profit ÷ Gross loss
A profit factor above 1.0 means the strategy is net profitable; below 1.0 means it's net unprofitable, regardless of win rate. A profit factor of 1.5 means you made $1.50 for every $1.00 lost. It's a useful summary number but, like win rate, tells you less on its own than expectancy does — two strategies can have the same profit factor with very different risk profiles (one making steady small gains, the other making rare large gains that offset frequent losses).
Max drawdown
What it is: The largest peak-to-trough decline in account equity over the period measured, usually expressed as a percentage.
Why it matters: Expectancy tells you the strategy works on average. Max drawdown tells you what the worst realistic stretch looks like — and whether you can psychologically and financially survive it. A strategy with excellent long-run expectancy but a 35% max historical drawdown requires real conviction (and appropriate sizing) to actually stay with through that stretch, rather than abandoning it right before it recovers.
How these numbers work together
None of these metrics is sufficient alone:
- Win rate tells you how often you're right — but not by how much.
- Average R (win/loss) tells you the size of outcomes — but not how often each occurs.
- Expectancy combines both into the single number that predicts long-run performance per trade.
- Profit factor summarizes total gross profit vs. loss — useful, but blind to risk profile.
- Max drawdown tells you what the worst realistic stretch feels like, which expectancy alone doesn't capture.
Track all five per setup tag, not just in aggregate. A strategy with strong overall expectancy might be entirely carried by one setup type while others are actively losing money — a pattern completely invisible in the blended, all-trades number.
Get these numbers without a spreadsheet
TradeLens calculates win rate, expectancy, R-multiple, and profit factor automatically per setup tag — the breakdown that a single blended P&L number can't show you.
Where to start
If you're only tracking one number today, add R-multiple to every trade first — everything else on this list (expectancy, profit factor, average win/loss) derives from having consistent R data across your trade history. Once you have 30-50 trades logged with R-multiples, calculate expectancy by setup tag and you'll have a real, data-backed answer to "which of my setups are actually working."